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System and method for controlling networked, grid-level energy storage devices

a technology of energy storage devices and networks, applied in the field of energy storage, can solve the problems of uncertainty, the most significant difficulty, etc., and achieve the effect of maintaining concavity

Inactive Publication Date: 2015-04-09
THE TRUSTEES FOR PRINCETON UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patent is about a system and method for controlling an energy storage system that is connected to a power grid. The system includes a processor that receives real-time information about the energy level, price, and load in the grid. The processor then solves a function to determine the optimal way to charge or discharge the storage system in order to meet the needs of the grid. The resulting control information is sent to the energy storage system, allowing it to adjust its behavior accordingly. The technical effect of this patent is to provide a more efficient and effective means for controlling energy storage systems in power grids, leading to better overall performance and reliability.

Problems solved by technology

One of the main challenges in developing solar and wind energy storage strategies is to maximize the allocation efficiency of the storage devices, which may be charged or discharged at each point in time.
In the case of wind energy, the most significant difficulty comes in the form of uncertainty.

Method used

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  • System and method for controlling networked, grid-level energy storage devices
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Embodiment Construction

[0015]The approach disclosed herein is described in the follow paper: D. F. Salas, W. B. Powell, Benchmarking a Scalable Approximation Dynamic Programming Algorithm for Stochastic Control of Multidimensional Energy Storage Problems, attached in Provisional Application No. 61 / 886,435 and is incorporated herein in its entirety.

[0016]Approximation Dynamic Programming (ADP) is used to obtain a practical control policy for a more realistic battery system, by taking into account the uncertainty in supply and demand. A unique feature of the ADP approach is the use of piecewise linear value function approximations, which capture the value of energy stored in each device. In the case of wind energy, the most significant difficulty comes in the form of uncertainty. The ADP approach is used for the control of the battery system where the energy from the grid comes from a mixture of fossil fuels, as well as wind and solar sources. The approach incorporates the effect of battery aging on the sto...

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PUM

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Abstract

A method for controlling an energy storage system coupled to a power grid is disclosed. The method includes providing a processor configured to receive current state information including energy level in the storage system, current energy price information and current load information from the power grid. A scalar piecewise linear value function is iteratively solved using the current state information and generating charge / discharge control information. The charge / discharge control information is transmitted to the energy storage system.

Description

CROSS-REFERENCE TO PRIOR FILED APPLICATIONS[0001]This application claims the benefit of U.S. Provisional Application No. 61 / 886,435 filed Oct. 3, 3013, which is incorporated herein in its entirety.GOVERNMENT RIGHTS IN THIS INVENTION[0002]This invention was made with government support under CMMI-0856153 awarded by the NSF. The government has certain rights in this invention.TECHNICAL FIELD[0003]The present disclosure generally relates to the field of energy storage and in more particular to systems and methods for controlling networked, grid-level energy storage devices.BACKGROUND OF THE INVENTION[0004]One of the main challenges in developing solar and wind energy storage strategies is to maximize the allocation efficiency of the storage devices, which may be charged or discharged at each point in time. These devices are generally treated as simple black-box models, which do not explicitly reflect the underlying physicochemical principles. In the case of wind energy, the most signif...

Claims

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Application Information

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IPC IPC(8): H02J7/00H02J7/35G01R31/36
CPCH02J7/007H02J7/35G01R31/3606G06Q50/06H02J3/28H02J7/34H02J2300/20H02J3/381Y02E70/30
Inventor POWELL, WARRENSALAS, DANIEL
Owner THE TRUSTEES FOR PRINCETON UNIV